{ \renewcommand{\arraystretch}{1.2} 
\begin{table} 
\center 
\begin{tabular}{cc ccccccccc} 
 Method &  & $h_{452}$ & $h_{952}$ & $h_{1452}$ & $h_{1952}$ & $h_{2452}$ & $h_{2952}$ & $h_{3452}$ & $h_{3952}$ & $h_{4452}$ \\ \hline  \hline
\rowcolor{LightCyan} 
DA & Mean 
 & 0.9891  & 0.2253  & 0.0029  & 0.1241  & 0.2229  & 1.0733  & -0.0064  & 0.7505  & -0.7602  \\  [0.75ex] 
 & (Std) 
 & (0.4355)  & (0.3870)  & (0.4195)  & (0.5256)  & (0.4437)  & (0.4175)  & (0.4687)  & (0.4343)  & (0.4384)  \\  [0.75ex] 
 [ 36.22 s] & ESS 
 & 97.2178  & 104.0848  & 93.2761  & 46.1816  & 120.0986  & 123.5237  & 77.3121  & 99.0416  & 83.6277  \\  [0.75ex] 
\rowcolor{LightCyan} 
Adapt10 & Mean 
 & 1.0044  & 0.1653  & -0.0153  & -0.0628  & 0.2494  & 1.0474  & 0.0177  & 0.7727  & -0.8358  \\  [0.75ex] 
 & (Std) 
 & (0.4371)  & (0.4324)  & (0.4189)  & (0.4971)  & (0.4632)  & (0.4478)  & (0.4902)  & (0.4496)  & (0.4593)  \\  [0.75ex] 
 [642.03 s] & ESS 
 & 294.6271  & 248.4269  & 350.6568  & 239.9951  & 307.8757  & 302.8399  & 254.3236  & 281.9860  & 265.4162  \\  [0.75ex] 
\rowcolor{LightCyan} 
Adapt20 & Mean 
 & 1.0173  & 0.1530  & 0.0197  & -0.0453  & 0.2723  & 1.0377  & 0.0108  & 0.7931  & -0.8081  \\  [0.75ex] 
 & (Std) 
 & (0.4428)  & (0.4161)  & (0.4399)  & (0.5184)  & (0.4462)  & (0.4660)  & (0.4783)  & (0.4479)  & (0.4558)  \\  [0.75ex] 
 [760.91 s] & ESS 
 & 292.3858  & 395.3403  & 342.0058  & 257.6892  & 335.3374  & 264.2828  & 213.9075  & 261.4772  & 315.5005  \\  [0.75ex] 
\rowcolor{LightCyan} 
Adapt30 & Mean 
 & 0.9866  & 0.2009  & 0.0304  & -0.0575  & 0.2528  & 1.0827  & -0.0383  & 0.7637  & -0.8184  \\  [0.75ex] 
 & (Std) 
 & (0.4428)  & (0.4199)  & (0.4357)  & (0.4883)  & (0.4888)  & (0.4677)  & (0.4919)  & (0.4490)  & (0.4695)  \\  [0.75ex] 
 [855.32 s] & ESS 
 & 251.9235  & 323.6865  & 384.7848  & 271.6010  & 296.6714  & 255.9279  & 307.7465  & 326.7842  & 275.3615  \\  [0.75ex] 
\rowcolor{LightCyan} 
Bin20 & Mean 
 & 1.0132  & 0.2251  & 0.0492  & -0.0187  & 0.2600  & 1.0619  & -0.0223  & 0.7761  & -0.7908  \\  [0.75ex] 
 & (Std) 
 & (0.4351)  & (0.4218)  & (0.4298)  & (0.5017)  & (0.4796)  & (0.4462)  & (0.4888)  & (0.4305)  & (0.4526)  \\  [0.75ex] 
 [679.02 s] & ESS 
 & 309.8479  & 269.9486  & 361.5661  & 237.5666  & 300.4452  & 274.7951  & 245.2726  & 305.5282  & 224.0426  \\  [0.75ex] 
\rowcolor{LightCyan} 
Bin30 & Mean 
 & 0.9898  & 0.2157  & 0.0094  & -0.0161  & 0.2208  & 1.0424  & -0.0039  & 0.7824  & -0.7933  \\  [0.75ex] 
 & (Std) 
 & (0.4209)  & (0.4318)  & (0.4112)  & (0.4904)  & (0.4591)  & (0.4560)  & (0.4673)  & (0.4455)  & (0.4694)  \\  [0.75ex] 
 [745.02 s] & ESS 
 & 375.3335  & 304.0895  & 340.9182  & 266.2458  & 281.7996  & 308.5409  & 303.8233  & 302.6676  & 298.5104  \\  [0.75ex] 
   \hline 
%\multicolumn{5}{p{8cm}}{\footnotesize{ESS: at lag equal to the lowest order at which sample autocorrelation is not significant.}}  \\ 
%\multicolumn{5}{p{8cm}}{\footnotesize{Computing times  (in seconds) in square brackets.}}  \\ 
\end{tabular}
 \caption{SV model: posterior means, standard deviations and effective sample sizes (ESS) of the latent volatilities for $M=10000$ posterior draws after a burn-in of $10000$.}
\label{tab:SV_results_H_IBM}  
\end{table}
}} \normalsize